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Short Trade on NEO

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Short Trade on NEO 29 Aug 2025 at 08:33:00

Take profit at 6.7748 (0.92 %) and Stop Loss at 6.8801 (0.62 %)

Short Trade on NEO

The 29 Aug 2025 at 08:33:00

With 189.8345 NEO at 6.838$ per unit.

Position size of 1298.0885 $

Take profit at 6.7748 (0.92 %) and Stop Loss at 6.8801 (0.62 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 8
Prediction Score: 3.0167
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.74
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low
BTC Correlation Score

5m : 0.70474

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.02809464246
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 6.81213
  4. ema21 : 6.9028
  5. ema50 : 7.00077
  6. ema100 : 7.14372
  7. price_ema9_diff : 0.00379741
  8. ema9_ema21_diff : -0.0131363
  9. ema21_ema50_diff : -0.0139932
  10. price_ema100_diff : -0.0427964
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.444279
  14. adx : 0.169339
  15. kc_percentage : 0.367602
  16. kc_width_percentage : 0.0656945
  17. volume_ema_diff : 0.142039
  18. volume_ema1 : 493324.41312939
  19. volume_ema2 : 431967.74332393
    20. ¸
  20. 15m
  21. ema9 : 6.7555
  22. ema21 : 6.7662
  23. ema50 : 6.85043
  24. ema100 : 6.92986
  25. price_ema9_diff : 0.0122115
  26. ema9_ema21_diff : -0.00158111
  27. ema21_ema50_diff : -0.0122955
  28. price_ema100_diff : -0.0132569
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.56409
  32. adx : 0.279366
  33. kc_percentage : 0.856092
  34. kc_width_percentage : 0.0305892
  35. volume_ema_diff : 0.291539
  36. volume_ema1 : 175840.95899211
  37. volume_ema2 : 136148.35158329
    38. ¸
  38. 5m
  39. ema9 : 6.75891
  40. ema21 : 6.743
  41. ema50 : 6.74835
  42. ema100 : 6.80683
  43. price_ema9_diff : 0.0117014
  44. ema9_ema21_diff : 0.00235818
  45. ema21_ema50_diff : -0.000791571
  46. price_ema100_diff : 0.00457848
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.724596
  50. adx : 0.195494
  51. kc_percentage : 1.23689
  52. kc_width_percentage : 0.0187015
  53. volume_ema_diff : 2.18794
  54. volume_ema1 : 147635.70281041
  55. volume_ema2 : 46310.609706613
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    110374
  59. 5m_price_ema100_diff: 
    0.00706311
  60. 5m_price: 
    111154
  61. 5m_correlation_with_coin: 
    0.70474
  62. btc_indicators
  63. 15m_ema100: 
    111348
  64. 15m_price_ema100_diff: 
    -0.00174975
  65. 15m_price: 
    111154
  66. btc_indicators
  67. 1H_ema100: 
    111513
  68. 1H_price_ema100_diff: 
    -0.00322249
  69. 1H_price: 
    111154
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
08:33:00		 29 Aug 2025
08:35:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.838 6.8801 6.7748 1.5 2.571
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 6.838
  • Stop Loss: 6.8801
  • Take Profit: 6.7748

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.8801 - 6.838 = 0.0421

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.838 - 6.7748 = 0.0632

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0632 / 0.0421 = 1.5012

📌 Position Size

Amount Margin Quantity Leverage
1298.0885 100 189.8345 12.98
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0421

Taille de position = 8 / 0.0421 = 190.02

Taille de position USD = 190.02 x 6.838 = 1299.36

Donc, tu peux acheter 190.02 avec un stoploss a 6.8801

Avec un position size USD de 1299.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 190.02 x 0.0421 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 190.02 x 0.0632 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 190.02
  • Taille de position USD 1299.36
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5012

📌 Peformances

TP % Target TP $ Target
0.92 % 12 $
SL % Target SL $ Target
0.62 % 7.99 $
PNL PNL %
12 $ 0.92
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 6.7538
            [stop_loss] => 6.8801
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 09:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 6.73275
            [stop_loss] => 6.8801
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 09:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 6.7117
            [stop_loss] => 6.8801
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 09:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 6.69065
            [stop_loss] => 6.8801
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 09:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 6.6696
            [stop_loss] => 6.8801
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 6.64855
            [stop_loss] => 6.8801
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 6.6275
            [stop_loss] => 6.8801
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 10:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 6.60645
            [stop_loss] => 6.8801
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 12:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 6.5854
            [stop_loss] => 6.8801
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 14:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 6.56435
            [stop_loss] => 6.8801
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 14:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.214
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 6.83100000
            [low] => 6.62400000
            [mfe_pct] => 3.13
            [mae_pct] => -0.1
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T08:33:00-04:00
            [end_at] => 2025-08-29T10:33:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.292
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 6.83100000
            [low] => 6.54600000
            [mfe_pct] => 4.27
            [mae_pct] => -0.1
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T08:33:00-04:00
            [end_at] => 2025-08-29T15:33:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.90900000
            [high_after] => 6.83100000
            [low_before] => 6.61900000
            [low_after] => 6.55700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)